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value="full_text">Full text</option></select> <input id="query" name="query" type="text" value="Carlson, J"> <ul id="abstracts"><li><input checked id="abstracts-0" name="abstracts" type="radio" value="show"> <label for="abstracts-0">Show abstracts</label></li><li><input id="abstracts-1" name="abstracts" type="radio" value="hide"> <label for="abstracts-1">Hide abstracts</label></li></ul> </div> <div class="box field is-grouped is-grouped-multiline level-item"> <div class="control"> <span class="select is-small"> <select id="size" name="size"><option value="25">25</option><option selected value="50">50</option><option value="100">100</option><option value="200">200</option></select> </span> <label for="size">results per page</label>. </div> <div class="control"> <label for="order">Sort results by</label> <span class="select is-small"> <select id="order" name="order"><option selected value="-announced_date_first">Announcement date (newest first)</option><option 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is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1016/j.cad.2023.103671">10.1016/j.cad.2023.103671 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Automatic cable harness layout routing in a customizable 3D environment </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Karlsson%2C+T">T. Karlsson</a>, <a href="/search/cs?searchtype=author&query=%C3%85blad%2C+E">E. 脜blad</a>, <a href="/search/cs?searchtype=author&query=Hermansson%2C+T">T. Hermansson</a>, <a href="/search/cs?searchtype=author&query=Carlson%2C+J+S">J. S. Carlson</a>, <a href="/search/cs?searchtype=author&query=Tenf%C3%A4lt%2C+G">G. Tenf盲lt</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2311.09061v1-abstract-short" style="display: inline;"> Designing cable harnesses can be time-consuming and complex due to many design and manufacturing aspects and rules. Automating the design process can help to fulfil these rules, speed up the process, and optimize the design. To accommodate this, we formulate a harness routing optimization problem to minimize cable lengths, maximize bundling by rewarding shared paths, and optimize the cables' spati… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2311.09061v1-abstract-full').style.display = 'inline'; document.getElementById('2311.09061v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2311.09061v1-abstract-full" style="display: none;"> Designing cable harnesses can be time-consuming and complex due to many design and manufacturing aspects and rules. Automating the design process can help to fulfil these rules, speed up the process, and optimize the design. To accommodate this, we formulate a harness routing optimization problem to minimize cable lengths, maximize bundling by rewarding shared paths, and optimize the cables' spatial location with respect to case-specific information of the routing environment, e.g., zones to avoid. A deterministic and computationally effective cable harness routing algorithm has been developed to solve the routing problem and is used to generate a set of cable harness topology candidates and approximate the Pareto front. Our approach was tested against a stochastic and an exact solver and our routing algorithm generated objective function values better than the stochastic approach and close to the exact solver. Our algorithm was able to find solutions, some of them being proven to be near-optimal, for three industrial-sized 3D cases within reasonable time (in magnitude of seconds to minutes) and the computation times were comparable to those of the stochastic approach. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2311.09061v1-abstract-full').style.display = 'none'; document.getElementById('2311.09061v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 15 November, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2023. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">14 pages, submitted for publication</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">MSC Class:</span> 90C27 <span class="has-text-black-bis has-text-weight-semibold">ACM Class:</span> G.2.1; J.6 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2310.10050">arXiv:2310.10050</a> <span> [<a href="https://arxiv.org/pdf/2310.10050">pdf</a>, <a href="https://arxiv.org/format/2310.10050">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computer Vision and Pattern Recognition">cs.CV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computation and Language">cs.CL</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="General Economics">econ.GN</span> </div> </div> <p class="title is-5 mathjax"> EfficientOCR: An Extensible, Open-Source Package for Efficiently Digitizing World Knowledge </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Bryan%2C+T">Tom Bryan</a>, <a href="/search/cs?searchtype=author&query=Carlson%2C+J">Jacob Carlson</a>, <a href="/search/cs?searchtype=author&query=Arora%2C+A">Abhishek Arora</a>, <a href="/search/cs?searchtype=author&query=Dell%2C+M">Melissa Dell</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2310.10050v1-abstract-short" style="display: inline;"> Billions of public domain documents remain trapped in hard copy or lack an accurate digitization. Modern natural language processing methods cannot be used to index, retrieve, and summarize their texts; conduct computational textual analyses; or extract information for statistical analyses, and these texts cannot be incorporated into language model training. Given the diversity and sheer quantity… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2310.10050v1-abstract-full').style.display = 'inline'; document.getElementById('2310.10050v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2310.10050v1-abstract-full" style="display: none;"> Billions of public domain documents remain trapped in hard copy or lack an accurate digitization. Modern natural language processing methods cannot be used to index, retrieve, and summarize their texts; conduct computational textual analyses; or extract information for statistical analyses, and these texts cannot be incorporated into language model training. Given the diversity and sheer quantity of public domain texts, liberating them at scale requires optical character recognition (OCR) that is accurate, extremely cheap to deploy, and sample-efficient to customize to novel collections, languages, and character sets. Existing OCR engines, largely designed for small-scale commercial applications in high resource languages, often fall short of these requirements. EffOCR (EfficientOCR), a novel open-source OCR package, meets both the computational and sample efficiency requirements for liberating texts at scale by abandoning the sequence-to-sequence architecture typically used for OCR, which takes representations from a learned vision model as inputs to a learned language model. Instead, EffOCR models OCR as a character or word-level image retrieval problem. EffOCR is cheap and sample efficient to train, as the model only needs to learn characters' visual appearance and not how they are used in sequence to form language. Models in the EffOCR model zoo can be deployed off-the-shelf with only a few lines of code. Importantly, EffOCR also allows for easy, sample efficient customization with a simple model training interface and minimal labeling requirements due to its sample efficiency. We illustrate the utility of EffOCR by cheaply and accurately digitizing 20 million historical U.S. newspaper scans, evaluating zero-shot performance on randomly selected documents from the U.S. National Archives, and accurately digitizing Japanese documents for which all other OCR solutions failed. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2310.10050v1-abstract-full').style.display = 'none'; document.getElementById('2310.10050v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 16 October, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2023. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2309.01149">arXiv:2309.01149</a> <span> [<a href="https://arxiv.org/pdf/2309.01149">pdf</a>, <a href="https://arxiv.org/format/2309.01149">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Robotics">cs.RO</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Systems and Control">eess.SY</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1109/TASE.2015.2432746">10.1109/TASE.2015.2432746 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> An Iterative Approach for Collision Feee Routing and Scheduling in Multirobot Stations </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Spensieri%2C+D">Domenico Spensieri</a>, <a href="/search/cs?searchtype=author&query=Carlson%2C+J+S">Johan S. Carlson</a>, <a href="/search/cs?searchtype=author&query=Ekstedt%2C+F">Fredrik Ekstedt</a>, <a href="/search/cs?searchtype=author&query=Bohlin%2C+R">Robert Bohlin</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2309.01149v1-abstract-short" style="display: inline;"> This work is inspired by the problem of planning sequences of operations, as welding, in car manufacturing stations where multiple industrial robots cooperate. The goal is to minimize the station cycle time, \emph{i.e.} the time it takes for the last robot to finish its cycle. This is done by dispatching the tasks among the robots, and by routing and scheduling the robots in a collision-free way,… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2309.01149v1-abstract-full').style.display = 'inline'; document.getElementById('2309.01149v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2309.01149v1-abstract-full" style="display: none;"> This work is inspired by the problem of planning sequences of operations, as welding, in car manufacturing stations where multiple industrial robots cooperate. The goal is to minimize the station cycle time, \emph{i.e.} the time it takes for the last robot to finish its cycle. This is done by dispatching the tasks among the robots, and by routing and scheduling the robots in a collision-free way, such that they perform all predefined tasks. We propose an iterative and decoupled approach in order to cope with the high complexity of the problem. First, collisions among robots are neglected, leading to a min-max Multiple Generalized Traveling Salesman Problem (MGTSP). Then, when the sets of robot loads have been obtained and fixed, we sequence and schedule their tasks, with the aim to avoid conflicts. The first problem (min-max MGTSP) is solved by an exact branch and bound method, where different lower bounds are presented by combining the solutions of a min-max set partitioning problem and of a Generalized Traveling Salesman Problem (GTSP). The second problem is approached by assuming that robots move synchronously: a novel transformation of this synchronous problem into a GTSP is presented. Eventually, in order to provide complete robot solutions, we include path planning functionalities, allowing the robots to avoid collisions with the static environment and among themselves. These steps are iterated until a satisfying solution is obtained. Experimental results are shown for both problems and for their combination. We even show the results of the iterative method, applied to an industrial test case adapted from a stud welding station in a car manufacturing line. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2309.01149v1-abstract-full').style.display = 'none'; document.getElementById('2309.01149v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 3 September, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2023. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> IEEE Transactions on Automation Science and Engineering, Vol. 13, n. 2, pp. 950-962, 2016 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2308.12477">arXiv:2308.12477</a> <span> [<a href="https://arxiv.org/pdf/2308.12477">pdf</a>, <a href="https://arxiv.org/format/2308.12477">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computation and Language">cs.CL</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computer Vision and Pattern Recognition">cs.CV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="General Economics">econ.GN</span> </div> </div> <p class="title is-5 mathjax"> American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Dell%2C+M">Melissa Dell</a>, <a href="/search/cs?searchtype=author&query=Carlson%2C+J">Jacob Carlson</a>, <a href="/search/cs?searchtype=author&query=Bryan%2C+T">Tom Bryan</a>, <a href="/search/cs?searchtype=author&query=Silcock%2C+E">Emily Silcock</a>, <a href="/search/cs?searchtype=author&query=Arora%2C+A">Abhishek Arora</a>, <a href="/search/cs?searchtype=author&query=Shen%2C+Z">Zejiang Shen</a>, <a href="/search/cs?searchtype=author&query=D%27Amico-Wong%2C+L">Luca D'Amico-Wong</a>, <a href="/search/cs?searchtype=author&query=Le%2C+Q">Quan Le</a>, <a href="/search/cs?searchtype=author&query=Querubin%2C+P">Pablo Querubin</a>, <a href="/search/cs?searchtype=author&query=Heldring%2C+L">Leander Heldring</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2308.12477v1-abstract-short" style="display: inline;"> Existing full text datasets of U.S. public domain newspapers do not recognize the often complex layouts of newspaper scans, and as a result the digitized content scrambles texts from articles, headlines, captions, advertisements, and other layout regions. OCR quality can also be low. This study develops a novel, deep learning pipeline for extracting full article texts from newspaper images and app… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2308.12477v1-abstract-full').style.display = 'inline'; document.getElementById('2308.12477v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2308.12477v1-abstract-full" style="display: none;"> Existing full text datasets of U.S. public domain newspapers do not recognize the often complex layouts of newspaper scans, and as a result the digitized content scrambles texts from articles, headlines, captions, advertisements, and other layout regions. OCR quality can also be low. This study develops a novel, deep learning pipeline for extracting full article texts from newspaper images and applies it to the nearly 20 million scans in Library of Congress's public domain Chronicling America collection. The pipeline includes layout detection, legibility classification, custom OCR, and association of article texts spanning multiple bounding boxes. To achieve high scalability, it is built with efficient architectures designed for mobile phones. The resulting American Stories dataset provides high quality data that could be used for pre-training a large language model to achieve better understanding of historical English and historical world knowledge. The dataset could also be added to the external database of a retrieval-augmented language model to make historical information - ranging from interpretations of political events to minutiae about the lives of people's ancestors - more widely accessible. Furthermore, structured article texts facilitate using transformer-based methods for popular social science applications like topic classification, detection of reproduced content, and news story clustering. Finally, American Stories provides a massive silver quality dataset for innovating multimodal layout analysis models and other multimodal applications. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2308.12477v1-abstract-full').style.display = 'none'; document.getElementById('2308.12477v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 23 August, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> August 2023. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2304.02737">arXiv:2304.02737</a> <span> [<a href="https://arxiv.org/pdf/2304.02737">pdf</a>, <a href="https://arxiv.org/format/2304.02737">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computer Vision and Pattern Recognition">cs.CV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Digital Libraries">cs.DL</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="General Economics">econ.GN</span> </div> </div> <p class="title is-5 mathjax"> Efficient OCR for Building a Diverse Digital History </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Carlson%2C+J">Jacob Carlson</a>, <a href="/search/cs?searchtype=author&query=Bryan%2C+T">Tom Bryan</a>, <a href="/search/cs?searchtype=author&query=Dell%2C+M">Melissa Dell</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2304.02737v2-abstract-short" style="display: inline;"> Thousands of users consult digital archives daily, but the information they can access is unrepresentative of the diversity of documentary history. The sequence-to-sequence architecture typically used for optical character recognition (OCR) - which jointly learns a vision and language model - is poorly extensible to low-resource document collections, as learning a language-vision model requires ex… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2304.02737v2-abstract-full').style.display = 'inline'; document.getElementById('2304.02737v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2304.02737v2-abstract-full" style="display: none;"> Thousands of users consult digital archives daily, but the information they can access is unrepresentative of the diversity of documentary history. The sequence-to-sequence architecture typically used for optical character recognition (OCR) - which jointly learns a vision and language model - is poorly extensible to low-resource document collections, as learning a language-vision model requires extensive labeled sequences and compute. This study models OCR as a character level image retrieval problem, using a contrastively trained vision encoder. Because the model only learns characters' visual features, it is more sample efficient and extensible than existing architectures, enabling accurate OCR in settings where existing solutions fail. Crucially, the model opens new avenues for community engagement in making digital history more representative of documentary history. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2304.02737v2-abstract-full').style.display = 'none'; document.getElementById('2304.02737v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 25 July, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 5 April, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> April 2023. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2302.06030">arXiv:2302.06030</a> <span> [<a href="https://arxiv.org/pdf/2302.06030">pdf</a>, <a href="https://arxiv.org/format/2302.06030">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Social and Information Networks">cs.SI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computers and Society">cs.CY</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> </div> </div> <p class="title is-5 mathjax"> Time-to-event modeling of subreddits transitions to r/SuicideWatch </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Liu%2C+X">Xueying Liu</a>, <a href="/search/cs?searchtype=author&query=Fang%2C+S">Shiaofen Fang</a>, <a href="/search/cs?searchtype=author&query=Mohler%2C+G">George Mohler</a>, <a href="/search/cs?searchtype=author&query=Carlson%2C+J">Joan Carlson</a>, <a href="/search/cs?searchtype=author&query=Xiao%2C+Y">Yunyu Xiao</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2302.06030v1-abstract-short" style="display: inline;"> Recent data mining research has focused on the analysis of social media text, content and networks to identify suicide ideation online. However, there has been limited research on the temporal dynamics of users and suicide ideation. In this work, we use time-to-event modeling to identify which subreddits have a higher association with users transitioning to posting on r/suicidewatch. For this purp… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2302.06030v1-abstract-full').style.display = 'inline'; document.getElementById('2302.06030v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2302.06030v1-abstract-full" style="display: none;"> Recent data mining research has focused on the analysis of social media text, content and networks to identify suicide ideation online. However, there has been limited research on the temporal dynamics of users and suicide ideation. In this work, we use time-to-event modeling to identify which subreddits have a higher association with users transitioning to posting on r/suicidewatch. For this purpose we use a Cox proportional hazards model that takes as input text and subreddit network features and outputs a probability distribution for the time until a Reddit user posts on r/suicidewatch. In our analysis we find a number of statistically significant features that predict earlier transitions to r/suicidewatch. While some patterns match existing intuition, for example r/depression is positively associated with posting sooner on r/suicidewatch, others were more surprising (for example, the average time between a high risk post on r/Wishlist and a post on r/suicidewatch is 10.2 days). We then discuss these results as well as directions for future research. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2302.06030v1-abstract-full').style.display = 'none'; document.getElementById('2302.06030v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 12 February, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2023. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2212.03196">arXiv:2212.03196</a> <span> [<a href="https://arxiv.org/pdf/2212.03196">pdf</a>, <a href="https://arxiv.org/format/2212.03196">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Robotics">cs.RO</span> </div> </div> <p class="title is-5 mathjax"> Collision-tolerant Aerial Robots: A Survey </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=De+Petris%2C+P">Paolo De Petris</a>, <a href="/search/cs?searchtype=author&query=Carlson%2C+S+J">Stephen J. Carlson</a>, <a href="/search/cs?searchtype=author&query=Papachristos%2C+C">Christos Papachristos</a>, <a href="/search/cs?searchtype=author&query=Alexis%2C+K">Kostas Alexis</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2212.03196v1-abstract-short" style="display: inline;"> As aerial robots are tasked to navigate environments of increased complexity, embedding collision tolerance in their design becomes important. In this survey we review the current state-of-the-art within the niche field of collision-tolerant micro aerial vehicles and present different design approaches identified in the literature, as well as methods that have focused on autonomy functionalities t… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2212.03196v1-abstract-full').style.display = 'inline'; document.getElementById('2212.03196v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2212.03196v1-abstract-full" style="display: none;"> As aerial robots are tasked to navigate environments of increased complexity, embedding collision tolerance in their design becomes important. In this survey we review the current state-of-the-art within the niche field of collision-tolerant micro aerial vehicles and present different design approaches identified in the literature, as well as methods that have focused on autonomy functionalities that exploit collision resilience. Subsequently, we discuss the relevance to biological systems and provide our view on key directions of future fruitful research. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2212.03196v1-abstract-full').style.display = 'none'; document.getElementById('2212.03196v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 6 December, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2022. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">12 pages, 1 figure</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2208.11630">arXiv:2208.11630</a> <span> [<a href="https://arxiv.org/pdf/2208.11630">pdf</a>, <a href="https://arxiv.org/format/2208.11630">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computational Physics">physics.comp-ph</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Instrumentation and Methods for Astrophysics">astro-ph.IM</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Mathematical Software">cs.MS</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1016/j.softx.2022.101168">10.1016/j.softx.2022.101168 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Flash-X, a multiphysics simulation software instrument </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Dubey%2C+A">Anshu Dubey</a>, <a href="/search/cs?searchtype=author&query=Weide%2C+K">Klaus Weide</a>, <a href="/search/cs?searchtype=author&query=O%27Neal%2C+J">Jared O'Neal</a>, <a href="/search/cs?searchtype=author&query=Dhruv%2C+A">Akash Dhruv</a>, <a href="/search/cs?searchtype=author&query=Couch%2C+S">Sean Couch</a>, <a href="/search/cs?searchtype=author&query=Harris%2C+J+A">J. Austin Harris</a>, <a href="/search/cs?searchtype=author&query=Klosterman%2C+T">Tom Klosterman</a>, <a href="/search/cs?searchtype=author&query=Jain%2C+R">Rajeev Jain</a>, <a href="/search/cs?searchtype=author&query=Rudi%2C+J">Johann Rudi</a>, <a href="/search/cs?searchtype=author&query=Messer%2C+B">Bronson Messer</a>, <a href="/search/cs?searchtype=author&query=Pajkos%2C+M">Michael Pajkos</a>, <a href="/search/cs?searchtype=author&query=Carlson%2C+J">Jared Carlson</a>, <a href="/search/cs?searchtype=author&query=Chu%2C+R">Ran Chu</a>, <a href="/search/cs?searchtype=author&query=Wahib%2C+M">Mohamed Wahib</a>, <a href="/search/cs?searchtype=author&query=Chawdhary%2C+S">Saurabh Chawdhary</a>, <a href="/search/cs?searchtype=author&query=Ricker%2C+P+M">Paul M. Ricker</a>, <a href="/search/cs?searchtype=author&query=Lee%2C+D">Dongwook Lee</a>, <a href="/search/cs?searchtype=author&query=Antypas%2C+K">Katie Antypas</a>, <a href="/search/cs?searchtype=author&query=Riley%2C+K+M">Katherine M. Riley</a>, <a href="/search/cs?searchtype=author&query=Daley%2C+C">Christopher Daley</a>, <a href="/search/cs?searchtype=author&query=Ganapathy%2C+M">Murali Ganapathy</a>, <a href="/search/cs?searchtype=author&query=Timmes%2C+F+X">Francis X. Timmes</a>, <a href="/search/cs?searchtype=author&query=Townsley%2C+D+M">Dean M. Townsley</a>, <a href="/search/cs?searchtype=author&query=Vanella%2C+M">Marcos Vanella</a>, <a href="/search/cs?searchtype=author&query=Bachan%2C+J">John Bachan</a> , et al. (6 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2208.11630v1-abstract-short" style="display: inline;"> Flash-X is a highly composable multiphysics software system that can be used to simulate physical phenomena in several scientific domains. It derives some of its solvers from FLASH, which was first released in 2000. Flash-X has a new framework that relies on abstractions and asynchronous communications for performance portability across a range of increasingly heterogeneous hardware platforms. Fla… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2208.11630v1-abstract-full').style.display = 'inline'; document.getElementById('2208.11630v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2208.11630v1-abstract-full" style="display: none;"> Flash-X is a highly composable multiphysics software system that can be used to simulate physical phenomena in several scientific domains. It derives some of its solvers from FLASH, which was first released in 2000. Flash-X has a new framework that relies on abstractions and asynchronous communications for performance portability across a range of increasingly heterogeneous hardware platforms. Flash-X is meant primarily for solving Eulerian formulations of applications with compressible and/or incompressible reactive flows. It also has a built-in, versatile Lagrangian framework that can be used in many different ways, including implementing tracers, particle-in-cell simulations, and immersed boundary methods. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2208.11630v1-abstract-full').style.display = 'none'; document.getElementById('2208.11630v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 24 August, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> August 2022. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">16 pages, 5 Figures, published open access in SoftwareX</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> SoftwareX, Volume 19, 2022, 101168,ISSN 2352-7110 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2207.01809">arXiv:2207.01809</a> <span> [<a href="https://arxiv.org/pdf/2207.01809">pdf</a>, <a href="https://arxiv.org/format/2207.01809">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Applications">stat.AP</span> </div> </div> <p class="title is-5 mathjax"> Sedentary Behavior Estimation with Hip-worn Accelerometer Data: Segmentation, Classification and Thresholding </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Wang%2C+Y">Yiren Wang</a>, <a href="/search/cs?searchtype=author&query=Tuz-Zahra%2C+F">Fatima Tuz-Zahra</a>, <a href="/search/cs?searchtype=author&query=Zablocki%2C+R">Rong Zablocki</a>, <a href="/search/cs?searchtype=author&query=Di%2C+C">Chongzhi Di</a>, <a href="/search/cs?searchtype=author&query=Jankowska%2C+M+M">Marta M. Jankowska</a>, <a href="/search/cs?searchtype=author&query=Bellettiere%2C+J">John Bellettiere</a>, <a href="/search/cs?searchtype=author&query=Carlson%2C+J+A">Jordan A. Carlson</a>, <a href="/search/cs?searchtype=author&query=LaCroix%2C+A+Z">Andrea Z. LaCroix</a>, <a href="/search/cs?searchtype=author&query=Hartman%2C+S+J">Sheri J. Hartman</a>, <a href="/search/cs?searchtype=author&query=Rosenberg%2C+D+E">Dori E. Rosenberg</a>, <a href="/search/cs?searchtype=author&query=Zou%2C+J">Jingjing Zou</a>, <a href="/search/cs?searchtype=author&query=Natarajan%2C+L">Loki Natarajan</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2207.01809v1-abstract-short" style="display: inline;"> Cohort studies are increasingly using accelerometers for physical activity and sedentary behavior estimation. These devices tend to be less error-prone than self-report, can capture activity throughout the day, and are economical. However, previous methods for estimating sedentary behavior based on hip-worn data are often invalid or suboptimal under free-living situations and subject-to-subject va… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2207.01809v1-abstract-full').style.display = 'inline'; document.getElementById('2207.01809v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2207.01809v1-abstract-full" style="display: none;"> Cohort studies are increasingly using accelerometers for physical activity and sedentary behavior estimation. These devices tend to be less error-prone than self-report, can capture activity throughout the day, and are economical. However, previous methods for estimating sedentary behavior based on hip-worn data are often invalid or suboptimal under free-living situations and subject-to-subject variation. In this paper, we propose a local Markov switching model that takes this situation into account, and introduce a general procedure for posture classification and sedentary behavior analysis that fits the model naturally. Our method features changepoint detection methods in time series and also a two stage classification step that labels data into 3 classes(sitting, standing, stepping). Through a rigorous training-testing paradigm, we showed that our approach achieves > 80% accuracy. In addition, our method is robust and easy to interpret. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2207.01809v1-abstract-full').style.display = 'none'; document.getElementById('2207.01809v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 5 July, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 2022. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2205.06956">arXiv:2205.06956</a> <span> [<a href="https://arxiv.org/pdf/2205.06956">pdf</a>, <a href="https://arxiv.org/format/2205.06956">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Combinatorics">math.CO</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Discrete Mathematics">cs.DM</span> </div> </div> <p class="title is-5 mathjax"> The multi-robber damage number of a graph </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Carlson%2C+J">Joshua Carlson</a>, <a href="/search/cs?searchtype=author&query=Halloran%2C+M">Meghan Halloran</a>, <a href="/search/cs?searchtype=author&query=Reinhart%2C+C">Carolyn Reinhart</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2205.06956v1-abstract-short" style="display: inline;"> In many variants of the game of Cops and Robbers on graphs, multiple cops play against a single robber. In 2019, Cox and Sanaei introduced a variant of the game that gives the robber a more active role than simply evading the cop. In their version, the robber tries to damage as many vertices as possible and the cop attempts to minimize this damage. While the damage variant was originally studied w… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2205.06956v1-abstract-full').style.display = 'inline'; document.getElementById('2205.06956v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2205.06956v1-abstract-full" style="display: none;"> In many variants of the game of Cops and Robbers on graphs, multiple cops play against a single robber. In 2019, Cox and Sanaei introduced a variant of the game that gives the robber a more active role than simply evading the cop. In their version, the robber tries to damage as many vertices as possible and the cop attempts to minimize this damage. While the damage variant was originally studied with one cop and one robber, it was later extended to play with multiple cops by Carlson et. al in 2021. We take a different approach by studying the damage variant with multiple robbers against one cop. Specifically, we introduce the $s$-robber damage number of a graph and obtain a variety of bounds on this parameter. Applying these bounds, we determine the $s$-robber damage number for a variety of graph families and characterize graphs with extreme $2$-robber damage number. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2205.06956v1-abstract-full').style.display = 'none'; document.getElementById('2205.06956v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 13 May, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> May 2022. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">16 pages, 2 figures</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">MSC Class:</span> 05C57; 05C15; 05C50 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2103.15348">arXiv:2103.15348</a> <span> [<a href="https://arxiv.org/pdf/2103.15348">pdf</a>, <a href="https://arxiv.org/format/2103.15348">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computer Vision and Pattern Recognition">cs.CV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> </div> </div> <p class="title is-5 mathjax"> LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Shen%2C+Z">Zejiang Shen</a>, <a href="/search/cs?searchtype=author&query=Zhang%2C+R">Ruochen Zhang</a>, <a href="/search/cs?searchtype=author&query=Dell%2C+M">Melissa Dell</a>, <a href="/search/cs?searchtype=author&query=Lee%2C+B+C+G">Benjamin Charles Germain Lee</a>, <a href="/search/cs?searchtype=author&query=Carlson%2C+J">Jacob Carlson</a>, <a href="/search/cs?searchtype=author&query=Li%2C+W">Weining Li</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2103.15348v2-abstract-short" style="display: inline;"> Recent advances in document image analysis (DIA) have been primarily driven by the application of neural networks. Ideally, research outcomes could be easily deployed in production and extended for further investigation. However, various factors like loosely organized codebases and sophisticated model configurations complicate the easy reuse of important innovations by a wide audience. Though ther… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2103.15348v2-abstract-full').style.display = 'inline'; document.getElementById('2103.15348v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2103.15348v2-abstract-full" style="display: none;"> Recent advances in document image analysis (DIA) have been primarily driven by the application of neural networks. Ideally, research outcomes could be easily deployed in production and extended for further investigation. However, various factors like loosely organized codebases and sophisticated model configurations complicate the easy reuse of important innovations by a wide audience. Though there have been on-going efforts to improve reusability and simplify deep learning (DL) model development in disciplines like natural language processing and computer vision, none of them are optimized for challenges in the domain of DIA. This represents a major gap in the existing toolkit, as DIA is central to academic research across a wide range of disciplines in the social sciences and humanities. This paper introduces layoutparser, an open-source library for streamlining the usage of DL in DIA research and applications. The core layoutparser library comes with a set of simple and intuitive interfaces for applying and customizing DL models for layout detection, character recognition, and many other document processing tasks. To promote extensibility, layoutparser also incorporates a community platform for sharing both pre-trained models and full document digitization pipelines. We demonstrate that layoutparser is helpful for both lightweight and large-scale digitization pipelines in real-word use cases. The library is publicly available at https://layout-parser.github.io/. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2103.15348v2-abstract-full').style.display = 'none'; document.getElementById('2103.15348v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 21 June, 2021; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 29 March, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 2021. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Accepted at ICDAR 2021, 16 pages, 6 figures, 2 tables</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2006.10894">arXiv:2006.10894</a> <span> [<a href="https://arxiv.org/pdf/2006.10894">pdf</a>, <a href="https://arxiv.org/format/2006.10894">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Combinatorics">math.CO</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Discrete Mathematics">cs.DM</span> </div> </div> <p class="title is-5 mathjax"> The damage throttling number of a graph </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Carlson%2C+J">Joshua Carlson</a>, <a href="/search/cs?searchtype=author&query=Eagleton%2C+R">Robin Eagleton</a>, <a href="/search/cs?searchtype=author&query=Geneson%2C+J">Jesse Geneson</a>, <a href="/search/cs?searchtype=author&query=Petrucci%2C+J">John Petrucci</a>, <a href="/search/cs?searchtype=author&query=Reinhart%2C+C">Carolyn Reinhart</a>, <a href="/search/cs?searchtype=author&query=Sen%2C+P">Preetul Sen</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2006.10894v3-abstract-short" style="display: inline;"> The cop throttling number of a graph, introduced in 2018 by Breen et al., optimizes the balance between the number of cops used and the number of rounds required to catch the robber in a game of Cops and Robbers. In 2019, Cox and Sanaei studied a variant of Cops and Robbers in which the robber tries to occupy (or damage) as many vertices as possible and the cop tries to minimize this damage. In th… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2006.10894v3-abstract-full').style.display = 'inline'; document.getElementById('2006.10894v3-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2006.10894v3-abstract-full" style="display: none;"> The cop throttling number of a graph, introduced in 2018 by Breen et al., optimizes the balance between the number of cops used and the number of rounds required to catch the robber in a game of Cops and Robbers. In 2019, Cox and Sanaei studied a variant of Cops and Robbers in which the robber tries to occupy (or damage) as many vertices as possible and the cop tries to minimize this damage. In their paper, they study the minimum number of vertices damaged by the robber over all games played on a given graph $G$, called the damage number of $G$. We introduce the natural parameter called the damage throttling number of a graph, denoted $\operatorname{th}_d(G)$, which optimizes the balance between the number of cops used and the number of vertices damaged in the graph. To this end, we formalize the definition of $k$-damage number, which extends the damage number to games played with $k$ cops. We show that damage throttling and cop throttling share many properties, yet they exhibit interesting differences. We prove that the damage throttling number is tightly bounded above by one less than the cop throttling number. Infinite families of examples and non-examples of tightness in this bound are given. We also find an infinite family of connected graphs $G$ of order $n$ for which $\operatorname{th}_d(G) = 惟(n^{2/3})$. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2006.10894v3-abstract-full').style.display = 'none'; document.getElementById('2006.10894v3-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 10 July, 2020; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 18 June, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">23 pages, 8 figures</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">MSC Class:</span> 05C57; 05C15; 05C50 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1903.10087">arXiv:1903.10087</a> <span> [<a href="https://arxiv.org/pdf/1903.10087">pdf</a>, <a href="https://arxiv.org/format/1903.10087">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Combinatorics">math.CO</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Discrete Mathematics">cs.DM</span> </div> </div> <p class="title is-5 mathjax"> Optimizing the trade-off between number of cops and capture time in Cops and Robbers </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Bonato%2C+A">Anthony Bonato</a>, <a href="/search/cs?searchtype=author&query=Breen%2C+J">Jane Breen</a>, <a href="/search/cs?searchtype=author&query=Brimkov%2C+B">Boris Brimkov</a>, <a href="/search/cs?searchtype=author&query=Carlson%2C+J">Joshua Carlson</a>, <a href="/search/cs?searchtype=author&query=English%2C+S">Sean English</a>, <a href="/search/cs?searchtype=author&query=Geneson%2C+J">Jesse Geneson</a>, <a href="/search/cs?searchtype=author&query=Hogben%2C+L">Leslie Hogben</a>, <a href="/search/cs?searchtype=author&query=Perry%2C+K+E">K. E. Perry</a>, <a href="/search/cs?searchtype=author&query=Reinhart%2C+C">Carolyn Reinhart</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1903.10087v2-abstract-short" style="display: inline;"> The cop throttling number $th_c(G)$ of a graph $G$ for the game of Cops and Robbers is the minimum of $k + capt_k(G)$, where $k$ is the number of cops and $capt_k(G)$ is the minimum number of rounds needed for $k$ cops to capture the robber on $G$ over all possible games in which both players play optimally. In this paper, we construct a family of graphs having $th_c(G)= 惟(n^{2/3})$, establish a s… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1903.10087v2-abstract-full').style.display = 'inline'; document.getElementById('1903.10087v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1903.10087v2-abstract-full" style="display: none;"> The cop throttling number $th_c(G)$ of a graph $G$ for the game of Cops and Robbers is the minimum of $k + capt_k(G)$, where $k$ is the number of cops and $capt_k(G)$ is the minimum number of rounds needed for $k$ cops to capture the robber on $G$ over all possible games in which both players play optimally. In this paper, we construct a family of graphs having $th_c(G)= 惟(n^{2/3})$, establish a sublinear upper bound on the cop throttling number, and show that the cop throttling number of chordal graphs is $O(\sqrt{n})$. We also introduce the product cop throttling number $th_c^{\times}(G)$ as a parameter that minimizes the person-hours used by the cops. This parameter extends the notion of speed-up that has been studied in the context of parallel processing and network decontamination. We establish bounds on the product cop throttling number in terms of the cop throttling number, characterize graphs with low product cop throttling number, and show that for a chordal graph $G$, $th_c^{\times}=1+rad(G)$. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1903.10087v2-abstract-full').style.display = 'none'; document.getElementById('1903.10087v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 13 September, 2019; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 24 March, 2019; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 2019. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">19 pages, 3 figures</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">MSC Class:</span> 05C57; 91A43 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1902.08295">arXiv:1902.08295</a> <span> [<a href="https://arxiv.org/pdf/1902.08295">pdf</a>, <a href="https://arxiv.org/format/1902.08295">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">stat.ML</span> </div> </div> <p class="title is-5 mathjax"> Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Shen%2C+J">Jonathan Shen</a>, <a href="/search/cs?searchtype=author&query=Nguyen%2C+P">Patrick Nguyen</a>, <a href="/search/cs?searchtype=author&query=Wu%2C+Y">Yonghui Wu</a>, <a href="/search/cs?searchtype=author&query=Chen%2C+Z">Zhifeng Chen</a>, <a href="/search/cs?searchtype=author&query=Chen%2C+M+X">Mia X. Chen</a>, <a href="/search/cs?searchtype=author&query=Jia%2C+Y">Ye Jia</a>, <a href="/search/cs?searchtype=author&query=Kannan%2C+A">Anjuli Kannan</a>, <a href="/search/cs?searchtype=author&query=Sainath%2C+T">Tara Sainath</a>, <a href="/search/cs?searchtype=author&query=Cao%2C+Y">Yuan Cao</a>, <a href="/search/cs?searchtype=author&query=Chiu%2C+C">Chung-Cheng Chiu</a>, <a href="/search/cs?searchtype=author&query=He%2C+Y">Yanzhang He</a>, <a href="/search/cs?searchtype=author&query=Chorowski%2C+J">Jan Chorowski</a>, <a href="/search/cs?searchtype=author&query=Hinsu%2C+S">Smit Hinsu</a>, <a href="/search/cs?searchtype=author&query=Laurenzo%2C+S">Stella Laurenzo</a>, <a href="/search/cs?searchtype=author&query=Qin%2C+J">James Qin</a>, <a href="/search/cs?searchtype=author&query=Firat%2C+O">Orhan Firat</a>, <a href="/search/cs?searchtype=author&query=Macherey%2C+W">Wolfgang Macherey</a>, <a href="/search/cs?searchtype=author&query=Gupta%2C+S">Suyog Gupta</a>, <a href="/search/cs?searchtype=author&query=Bapna%2C+A">Ankur Bapna</a>, <a href="/search/cs?searchtype=author&query=Zhang%2C+S">Shuyuan Zhang</a>, <a href="/search/cs?searchtype=author&query=Pang%2C+R">Ruoming Pang</a>, <a href="/search/cs?searchtype=author&query=Weiss%2C+R+J">Ron J. Weiss</a>, <a href="/search/cs?searchtype=author&query=Prabhavalkar%2C+R">Rohit Prabhavalkar</a>, <a href="/search/cs?searchtype=author&query=Liang%2C+Q">Qiao Liang</a>, <a href="/search/cs?searchtype=author&query=Jacob%2C+B">Benoit Jacob</a> , et al. (66 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1902.08295v1-abstract-short" style="display: inline;"> Lingvo is a Tensorflow framework offering a complete solution for collaborative deep learning research, with a particular focus towards sequence-to-sequence models. Lingvo models are composed of modular building blocks that are flexible and easily extensible, and experiment configurations are centralized and highly customizable. Distributed training and quantized inference are supported directly w… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1902.08295v1-abstract-full').style.display = 'inline'; document.getElementById('1902.08295v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1902.08295v1-abstract-full" style="display: none;"> Lingvo is a Tensorflow framework offering a complete solution for collaborative deep learning research, with a particular focus towards sequence-to-sequence models. Lingvo models are composed of modular building blocks that are flexible and easily extensible, and experiment configurations are centralized and highly customizable. Distributed training and quantized inference are supported directly within the framework, and it contains existing implementations of a large number of utilities, helper functions, and the newest research ideas. Lingvo has been used in collaboration by dozens of researchers in more than 20 papers over the last two years. This document outlines the underlying design of Lingvo and serves as an introduction to the various pieces of the framework, while also offering examples of advanced features that showcase the capabilities of the framework. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1902.08295v1-abstract-full').style.display = 'none'; document.getElementById('1902.08295v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 21 February, 2019; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2019. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1701.00123">arXiv:1701.00123</a> <span> [<a href="https://arxiv.org/pdf/1701.00123">pdf</a>, <a href="https://arxiv.org/format/1701.00123">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Software Engineering">cs.SE</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1145/2797433.2797501">10.1145/2797433.2797501 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> SCALL: Software Component Allocator for Heterogeneous Embedded Systems </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Svogor%2C+I">Ivan Svogor</a>, <a href="/search/cs?searchtype=author&query=Carlson%2C+J">Jan Carlson</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1701.00123v1-abstract-short" style="display: inline;"> Allocation of software components on a heterogeneous computing platform involves hard decisions; handling different types of computing units with specific processing paradigms and a number of software components which require specific resources. An allocation method which explores the design space to provide a system architect with deployment alternatives in an early design phase can have a signif… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1701.00123v1-abstract-full').style.display = 'inline'; document.getElementById('1701.00123v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1701.00123v1-abstract-full" style="display: none;"> Allocation of software components on a heterogeneous computing platform involves hard decisions; handling different types of computing units with specific processing paradigms and a number of software components which require specific resources. An allocation method which explores the design space to provide a system architect with deployment alternatives in an early design phase can have a significant impact on the utilization of underlying platform. In this paper we present SCALL, an early prototype tool which uses heuristics and AHP for weighted multi-objective design space exploration to support systems architects in complex allocation decisions in early design phases. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1701.00123v1-abstract-full').style.display = 'none'; document.getElementById('1701.00123v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 31 December, 2016; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> January 2017. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">ACM Class:</span> C.0; D.2.2; D.2.8 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1606.05647">arXiv:1606.05647</a> <span> [<a href="https://arxiv.org/pdf/1606.05647">pdf</a>, <a href="https://arxiv.org/format/1606.05647">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Physics and Society">physics.soc-ph</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Neural and Evolutionary Computing">cs.NE</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Social and Information Networks">cs.SI</span> </div> </div> <p class="title is-5 mathjax"> Collective Decision Dynamics in Group Evacuation: Behavioral Experiment and Machine Learning Models </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Nguyen%2C+C">Chantal Nguyen</a>, <a href="/search/cs?searchtype=author&query=Han%2C+F">Fangqiu Han</a>, <a href="/search/cs?searchtype=author&query=Schlesinger%2C+K+J">Kimberly J. Schlesinger</a>, <a href="/search/cs?searchtype=author&query=G%C3%BCr%2C+I">Izzeddin G眉r</a>, <a href="/search/cs?searchtype=author&query=Carlson%2C+J+M">Jean M. Carlson</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1606.05647v3-abstract-short" style="display: inline;"> Identifying factors that affect human decision making and quantifying their influence remain essential and challenging tasks for the design and implementation of social and technological communication systems. We report results of a behavioral experiment involving decision making in the face of an impending natural disaster. In a controlled laboratory setting, we characterize individual and group… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1606.05647v3-abstract-full').style.display = 'inline'; document.getElementById('1606.05647v3-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1606.05647v3-abstract-full" style="display: none;"> Identifying factors that affect human decision making and quantifying their influence remain essential and challenging tasks for the design and implementation of social and technological communication systems. We report results of a behavioral experiment involving decision making in the face of an impending natural disaster. In a controlled laboratory setting, we characterize individual and group evacuation decision making influenced by several key factors, including the likelihood of the disaster, available shelter capacity, group size, and group decision protocol. Our results show that success in individual decision making is not a strong predictor of group performance. We use an artificial neural network trained on the collective behavior of subjects to predict individual and group outcomes. Overall model accuracy increases with the inclusion of a subject-specific performance parameter based on laboratory trials that captures individual differences. In parallel, we demonstrate that the social media activity of individual subjects, specifically their Facebook use, can be used to generate an alternative individual personality profile that leads to comparable model accuracy. Quantitative characterization and prediction of collective decision making is crucial for the development of effective policies to guide the action of populations in the face of threat or uncertainty. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1606.05647v3-abstract-full').style.display = 'none'; document.getElementById('1606.05647v3-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 30 November, 2016; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 17 June, 2016; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2016. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">formerly part 1 of a 2-part series, now presented individually</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1304.4704">arXiv:1304.4704</a> <span> [<a href="https://arxiv.org/pdf/1304.4704">pdf</a>, <a href="https://arxiv.org/format/1304.4704">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Physics and Society">physics.soc-ph</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Social and Information Networks">cs.SI</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1371/journal.pone.0087380">10.1371/journal.pone.0087380 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Measuring and Modeling Behavioral Decision Dynamics in Collective Evacuation </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Carlson%2C+J+M">Jean M. Carlson</a>, <a href="/search/cs?searchtype=author&query=Alderson%2C+D+L">David L. Alderson</a>, <a href="/search/cs?searchtype=author&query=Stromberg%2C+S+P">Sean P. Stromberg</a>, <a href="/search/cs?searchtype=author&query=Bassett%2C+D+S">Danielle S. Bassett</a>, <a href="/search/cs?searchtype=author&query=Craparo%2C+E+M">Emily M. Craparo</a>, <a href="/search/cs?searchtype=author&query=Gutierrez-Villarreal%2C+F">Francisco Gutierrez-Villarreal</a>, <a href="/search/cs?searchtype=author&query=Otani%2C+T">Thomas Otani</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1304.4704v3-abstract-short" style="display: inline;"> Identifying and quantifying factors influencing human decision making remains an outstanding challenge, impacting the performance and predictability of social and technological systems. In many cases, system failures are traced to human factors including congestion, overload, miscommunication, and delays. Here we report results of a behavioral network science experiment, targeting decision making… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1304.4704v3-abstract-full').style.display = 'inline'; document.getElementById('1304.4704v3-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1304.4704v3-abstract-full" style="display: none;"> Identifying and quantifying factors influencing human decision making remains an outstanding challenge, impacting the performance and predictability of social and technological systems. In many cases, system failures are traced to human factors including congestion, overload, miscommunication, and delays. Here we report results of a behavioral network science experiment, targeting decision making in a natural disaster. In each scenario, individuals are faced with a forced "go" versus "no go" evacuation decision, based on information available on competing broadcast and peer-to-peer sources. In this controlled setting, all actions and observations are recorded prior to the decision, enabling development of a quantitative decision making model that accounts for the disaster likelihood, severity, and temporal urgency, as well as competition between networked individuals for limited emergency resources. Individual differences in behavior within this social setting are correlated with individual differences in inherent risk attitudes, as measured by standard psychological assessments. Identification of robust methods for quantifying human decisions in the face of risk has implications for policy in disasters and other threat scenarios. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1304.4704v3-abstract-full').style.display = 'none'; document.getElementById('1304.4704v3-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 25 July, 2013; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 17 April, 2013; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> April 2013. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Approved for public release; distribution is unlimited</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1207.1374">arXiv:1207.1374</a> <span> [<a href="https://arxiv.org/pdf/1207.1374">pdf</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> </div> </div> <p class="title is-5 mathjax"> Use of Dempster-Shafer Conflict Metric to Detect Interpretation Inconsistency </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Carlson%2C+J">Jennifer Carlson</a>, <a href="/search/cs?searchtype=author&query=Murphy%2C+R+R">Robin R. Murphy</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1207.1374v1-abstract-short" style="display: inline;"> A model of the world built from sensor data may be incorrect even if the sensors are functioning correctly. Possible causes include the use of inappropriate sensors (e.g. a laser looking through glass walls), sensor inaccuracies accumulate (e.g. localization errors), the a priori models are wrong, or the internal representation does not match the world (e.g. a static occupancy grid used with dynam… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1207.1374v1-abstract-full').style.display = 'inline'; document.getElementById('1207.1374v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1207.1374v1-abstract-full" style="display: none;"> A model of the world built from sensor data may be incorrect even if the sensors are functioning correctly. Possible causes include the use of inappropriate sensors (e.g. a laser looking through glass walls), sensor inaccuracies accumulate (e.g. localization errors), the a priori models are wrong, or the internal representation does not match the world (e.g. a static occupancy grid used with dynamically moving objects). We are interested in the case where the constructed model of the world is flawed, but there is no access to the ground truth that would allow the system to see the discrepancy, such as a robot entering an unknown environment. This paper considers the problem of determining when something is wrong using only the sensor data used to construct the world model. It proposes 11 interpretation inconsistency indicators based on the Dempster-Shafer conflict metric, Con, and evaluates these indicators according to three criteria: ability to distinguish true inconsistency from sensor noise (classification), estimate the magnitude of discrepancies (estimation), and determine the source(s) (if any) of sensing problems in the environment (isolation). The evaluation is conducted using data from a mobile robot with sonar and laser range sensors navigating indoor environments under controlled conditions. The evaluation shows that the Gambino indicator performed best in terms of estimation (at best 0.77 correlation), isolation, and classification of the sensing situation as degraded (7% false negative rate) or normal (0% false positive rate). <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1207.1374v1-abstract-full').style.display = 'none'; document.getElementById('1207.1374v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 4 July, 2012; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 2012. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005)</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Report number:</span> UAI-P-2005-PG-94-104 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1206.4358">arXiv:1206.4358</a> <span> [<a href="https://arxiv.org/pdf/1206.4358">pdf</a>, <a href="https://arxiv.org/format/1206.4358">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Data Analysis, Statistics and Probability">physics.data-an</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Disordered Systems and Neural Networks">cond-mat.dis-nn</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Social and Information Networks">cs.SI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Biological Physics">physics.bio-ph</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Physics and Society">physics.soc-ph</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Neurons and Cognition">q-bio.NC</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1063/1.4790830">10.1063/1.4790830 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Robust Detection of Dynamic Community Structure in Networks </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Bassett%2C+D+S">Danielle S. Bassett</a>, <a href="/search/cs?searchtype=author&query=Porter%2C+M+A">Mason A. Porter</a>, <a href="/search/cs?searchtype=author&query=Wymbs%2C+N+F">Nicholas F. Wymbs</a>, <a href="/search/cs?searchtype=author&query=Grafton%2C+S+T">Scott T. Grafton</a>, <a href="/search/cs?searchtype=author&query=Carlson%2C+J+M">Jean M. Carlson</a>, <a href="/search/cs?searchtype=author&query=Mucha%2C+P+J">Peter J. Mucha</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1206.4358v2-abstract-short" style="display: inline;"> We describe techniques for the robust detection of community structure in some classes of time-dependent networks. Specifically, we consider the use of statistical null models for facilitating the principled identification of structural modules in semi-decomposable systems. Null models play an important role both in the optimization of quality functions such as modularity and in the subsequent ass… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1206.4358v2-abstract-full').style.display = 'inline'; document.getElementById('1206.4358v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1206.4358v2-abstract-full" style="display: none;"> We describe techniques for the robust detection of community structure in some classes of time-dependent networks. Specifically, we consider the use of statistical null models for facilitating the principled identification of structural modules in semi-decomposable systems. Null models play an important role both in the optimization of quality functions such as modularity and in the subsequent assessment of the statistical validity of identified community structure. We examine the sensitivity of such methods to model parameters and show how comparisons to null models can help identify system scales. By considering a large number of optimizations, we quantify the variance of network diagnostics over optimizations (`optimization variance') and over randomizations of network structure (`randomization variance'). Because the modularity quality function typically has a large number of nearly-degenerate local optima for networks constructed using real data, we develop a method to construct representative partitions that uses a null model to correct for statistical noise in sets of partitions. To illustrate our results, we employ ensembles of time-dependent networks extracted from both nonlinear oscillators and empirical neuroscience data. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1206.4358v2-abstract-full').style.display = 'none'; document.getElementById('1206.4358v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 12 April, 2013; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 19 June, 2012; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2012. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">18 pages, 11 figures</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Chaos, 2013, 23, 1 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1206.1120">arXiv:1206.1120</a> <span> [<a href="https://arxiv.org/pdf/1206.1120">pdf</a>, <a href="https://arxiv.org/format/1206.1120">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Physics and Society">physics.soc-ph</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Social and Information Networks">cs.SI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Adaptation and Self-Organizing Systems">nlin.AO</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1103/PhysRevE.86.036105">10.1103/PhysRevE.86.036105 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Collective Decision Dynamics in the Presence of External Drivers </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Bassett%2C+D+S">Danielle S. Bassett</a>, <a href="/search/cs?searchtype=author&query=Alderson%2C+D+L">David L. Alderson</a>, <a href="/search/cs?searchtype=author&query=Carlson%2C+J+M">Jean M. Carlson</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1206.1120v2-abstract-short" style="display: inline;"> We develop a sequence of models describing information transmission and decision dynamics for a network of individual agents subject to multiple sources of influence. Our general framework is set in the context of an impending natural disaster, where individuals, represented by nodes on the network, must decide whether or not to evacuate. Sources of influence include a one-to-many externally drive… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1206.1120v2-abstract-full').style.display = 'inline'; document.getElementById('1206.1120v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1206.1120v2-abstract-full" style="display: none;"> We develop a sequence of models describing information transmission and decision dynamics for a network of individual agents subject to multiple sources of influence. Our general framework is set in the context of an impending natural disaster, where individuals, represented by nodes on the network, must decide whether or not to evacuate. Sources of influence include a one-to-many externally driven global broadcast as well as pairwise interactions, across links in the network, in which agents transmit either continuous opinions or binary actions. We consider both uniform and variable threshold rules on the individual opinion as baseline models for decision-making. Our results indicate that 1) social networks lead to clustering and cohesive action among individuals, 2) binary information introduces high temporal variability and stagnation, and 3) information transmission over the network can either facilitate or hinder action adoption, depending on the influence of the global broadcast relative to the social network. Our framework highlights the essential role of local interactions between agents in predicting collective behavior of the population as a whole. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1206.1120v2-abstract-full').style.display = 'none'; document.getElementById('1206.1120v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 8 June, 2012; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 6 June, 2012; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2012. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">14 pages, 7 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/cs/0607113">arXiv:cs/0607113</a> <span> [<a href="https://arxiv.org/pdf/cs/0607113">pdf</a>, <a href="https://arxiv.org/ps/cs/0607113">ps</a>, <a href="https://arxiv.org/format/cs/0607113">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computational Geometry">cs.CG</span> </div> </div> <p class="title is-5 mathjax"> Trees with Convex Faces and Optimal Angles </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Carlson%2C+J">Josiah Carlson</a>, <a href="/search/cs?searchtype=author&query=Eppstein%2C+D">David Eppstein</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="cs/0607113v1-abstract-short" style="display: inline;"> We consider drawings of trees in which all edges incident to leaves can be extended to infinite rays without crossing, partitioning the plane into infinite convex polygons. Among all such drawings we seek the one maximizing the angular resolution of the drawing. We find linear time algorithms for solving this problem, both for plane trees and for trees without a fixed embedding. In any such draw… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('cs/0607113v1-abstract-full').style.display = 'inline'; document.getElementById('cs/0607113v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="cs/0607113v1-abstract-full" style="display: none;"> We consider drawings of trees in which all edges incident to leaves can be extended to infinite rays without crossing, partitioning the plane into infinite convex polygons. Among all such drawings we seek the one maximizing the angular resolution of the drawing. We find linear time algorithms for solving this problem, both for plane trees and for trees without a fixed embedding. In any such drawing, the edge lengths may be set independently of the angles, without crossing; we describe multiple strategies for setting these lengths. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('cs/0607113v1-abstract-full').style.display = 'none'; document.getElementById('cs/0607113v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 25 July, 2006; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 2006. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">12 pages, 10 figures. To appear at 14th Int. Symp. Graph Drawing, 2006</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">ACM Class:</span> F.2.2 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/cs/0503023">arXiv:cs/0503023</a> <span> [<a href="https://arxiv.org/pdf/cs/0503023">pdf</a>, <a href="https://arxiv.org/ps/cs/0503023">ps</a>, <a href="https://arxiv.org/format/cs/0503023">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computational Geometry">cs.CG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Data Structures and Algorithms">cs.DS</span> </div> </div> <p class="title is-5 mathjax"> The Weighted Maximum-Mean Subtree and Other Bicriterion Subtree Problems </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Carlson%2C+J">Josiah Carlson</a>, <a href="/search/cs?searchtype=author&query=Eppstein%2C+D">David Eppstein</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="cs/0503023v4-abstract-short" style="display: inline;"> We consider problems in which we are given a rooted tree as input, and must find a subtree with the same root, optimizing some objective function of the nodes in the subtree. When this function is the sum of constant node weights, the problem is trivially solved in linear time. When the objective is the sum of weights that are linear functions of a parameter, we show how to list all optima for a… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('cs/0503023v4-abstract-full').style.display = 'inline'; document.getElementById('cs/0503023v4-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="cs/0503023v4-abstract-full" style="display: none;"> We consider problems in which we are given a rooted tree as input, and must find a subtree with the same root, optimizing some objective function of the nodes in the subtree. When this function is the sum of constant node weights, the problem is trivially solved in linear time. When the objective is the sum of weights that are linear functions of a parameter, we show how to list all optima for all possible parameter values in O(n log n) time; this parametric optimization problem can be used to solve many bicriterion optimizations problems, in which each node has two values xi and yi associated with it, and the objective function is a bivariate function f(SUM(xi),SUM(yi)) of the sums of these two values. A special case, when f is the ratio of the two sums, is the Weighted Maximum-Mean Subtree Problem, or equivalently the Fractional Prize-Collecting Steiner Tree Problem on Trees; for this special case, we provide a linear time algorithm for this problem when all weights are positive, improving a previous O(n log n) solution, and prove that the problem is NP-complete when negative weights are allowed. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('cs/0503023v4-abstract-full').style.display = 'none'; document.getElementById('cs/0503023v4-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 5 December, 2005; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 9 March, 2005; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 2005. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">10 pages</span> </p> </li> </ol> <div class="is-hidden-tablet"> <!-- feedback for mobile only --> <span class="help" style="display: inline-block;"><a href="https://github.com/arXiv/arxiv-search/releases">Search v0.5.6 released 2020-02-24</a> </span> </div> </div> </main> <footer> <div class="columns is-desktop" role="navigation" aria-label="Secondary"> <!-- MetaColumn 1 --> <div class="column"> <div class="columns"> <div class="column"> <ul class="nav-spaced"> <li><a href="https://info.arxiv.org/about">About</a></li> <li><a href="https://info.arxiv.org/help">Help</a></li> </ul> </div> <div class="column"> <ul class="nav-spaced"> <li> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" class="icon filter-black" role="presentation"><title>contact arXiv</title><desc>Click here to contact arXiv</desc><path d="M502.3 190.8c3.9-3.1 9.7-.2 9.7 4.7V400c0 26.5-21.5 48-48 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